Elshabrawy T, Nafie S, Robert J (2016)
Publication Language: English
Publication Status: Published
Publication Type: Conference contribution, Conference Contribution
Publication year: 2016
Publisher: Institute of Electrical and Electronics Engineers Inc.
Article Number: 7565088
ISBN: 9781467398145
DOI: 10.1109/WCNC.2016.7565088
Telemetry systems suffer from inter-system interference due to other technologies competing for the shared unlicensed ISM/SRD band. The resultant collisions could have a profound impact on the underlying BLER performance of telemetry systems. A telegram splitting approach has been recently proposed in the literature that suggests splitting transmitted telemetry blocks into multiple telegrams and transmitting them in a frequency hopping manner across multiple ISM/SRD channels. As a result, collisions probabilistically hit a subset of sent telegrams instead of destroying the whole block. In this paper, the BLER performance of convolutionally-coded telegram splitting is theoretically analyzed under different ISM/SRD collision behaviors. Particularly, ISM/SRD interference may exhibit deterministic, random and quasi-deterministic collision behaviors over transmitted telegrams. For each of the three collision modes, a binary erasure channel model accompanied by hard-decision decoding is presumed for collided bits. A Gaussian channel associated with soft-decision decoding is simulated and included for comparison. Numerical results suggest that by synchronizing the transmitted block and telegram sizes with the number of ISM/SRD channels to create either deterministic or quasi-deterministic collision scenarios, measurable BLER gains may be achieved. Furthermore, BLER performance could be significantly improved by deriving LLR information from collided bits in association with soft decision decoding.
APA:
Elshabrawy, T., Nafie, S., & Robert, J. (2016). Performance analysis of convolutionally-coded telegram splitting telemetry systems under different ISM/SRD collision behaviors. In Proceedings of the 2016 IEEE Wireless Communications and Networking Conference, WCNC 2016. Institute of Electrical and Electronics Engineers Inc..
MLA:
Elshabrawy, Tallal, Sally Nafie, and Jörg Robert. "Performance analysis of convolutionally-coded telegram splitting telemetry systems under different ISM/SRD collision behaviors." Proceedings of the 2016 IEEE Wireless Communications and Networking Conference, WCNC 2016 Institute of Electrical and Electronics Engineers Inc., 2016.
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